The course deserves a 5-star rating because: (1) content is relevant, (2) the professor is concise and possesses great teaching skills, and (3) the learning modules are applicable to daily problems.
The course was excellent. A little difficult and overwhelming at times but as long as you stayed the course the professors gave you every opportunity to succeed. Thank you for your time professor.
par Jan C•
Very useful course - during the course, I struggled a bit to be sure that I would be able to combine all the knowledge and put together into something meaningful in real practice, but the final assignments in week 6 were really great and through the step by step process of building the model I finally got the whole picture. And it is great! thank you!
par Will S•
Amazing volume of topics covered and in a manner that is not overly complicated in terms of testing methodology, but still requires you to do the work. There are still several bugs with the course, test answers and instruction documents on the site, but clearly the course is new so hopefully that will be resolved in coming iterations of the class.
par Jason C D A•
The course is more on analysis techniques as opposed to Excel shortcuts, tips and tricks. It certainly helps if you have a good background in algebra-level math; if you're looking for a course on how to be an Excel Power User, this might not be the best fit. Otherwise, what I learned here is useful for me. Thanks!
par Chua W T C•
The course is quite tough for me, but I enjoyed the topics discussed, primary between a binary model and a linear regression model. The addition of Excel into this course adds an application layer, which helps me to bring the concepts to the working world as well, and not just plain academic knowledge.
par Nijat S G•
The course is very practical and sheds a light on data analyst job, however it may be very sophisticated and has little guidance when it comes to final assignments. A lot of ambiguity is present in final assessment, but it is a very good insight on the scientific background of the data science.
par Jose D P•
Excelente curso, pero a veces los vídeos o materiales se no son tan expresos en explicaciones y ejercicios para facilitar el entendimiento de lo estudiado. Por ejemplo la semana 2 de matriz de clasificación por su complejidad merecía mayor detalle en las explicaciones y ejercicios de práctica
par Adam S•
The course enables me to get the knowledge about binary classification and predictive models I think with these skills I feel well-prepared to excel my skills in Data Science. The tutor explained all mentioned issues clearly however the assignment and quizzes may be written clearly.
par Dali S•
Excellent course. I am a finance professional with limited statistics knowledge. Was able to follow the lectures. The reason for the 4 stars only is that the quizzes can be confusing with missing or misplaced information. Sometimes you have to search in the forums for hints.
par sudhanshu r•
The course content was really nice. A few corrections in assignments is required but overall the learning experience was great. The best part is the course does not spoon feeds you everything, you need to put in efforts to complete it which is really important for learning.
par Colin M•
Good course, bit disjointed at times and some of the maths is rushed through, or not really relevant. Not sure I need proofs on why standardising figures results in easier to use data, maybe just show us how to do the analysis and apply it to more examples in real life.
par Ka L C•
I have learnt a lot about creating models with training data set and testing the strength of the model on test data sets. Every quiz is designed brilliantly. The only problem is that questions in the peer-reviewed assignment are not very clear and need some fix.
par YEVGENIY V K•
Lots of good information. However, this course could be structured a lit bit better. More examples and small practice exercises within the lectures would significantly improve the retention of material.
You should posses at least basic knowledge of statistics.
par Richard P•
Great information included. I feel like I know much more about modelling data than when I started. The quizzes can be in that without the hints on the discussion forum I don't know how I would have completed them just based on the information in the videos.
par Saranya C V P•
This course is really useful for Data Analysts. I learnt much and the final project was a real task. But one aspect that is lacking where I couldn't rate 5 is, Quizzes - there are so many mistakes and not instructed well. Hope it is improved in future.
par Matt B•
I would have appreciated a bit more of a hands-on process in building the workbooks (with proper instruction of course) and more formal presentation of the formulas being used, but overall, I got a lot out of this course and enjoyed it along the way.
par K.S. V•
Although more about Prob and Stat than learning to use Excel, concepts of binary classification and entropy are very interesting and are taught very deliberately and thoroughly. More practise quizes and worked out examples would be even better.
par Victor W•
Course is very good! All examples are very clear and detailed. And a spreadsheet is provided to follow along during class. Only bad thing is that it was not so clear this course is heavily related to Math. Data Analysis = Math & Statistics. ;-)
par Jeff S•
Tough class but filled with useful and applicable ata analysis using the most popular and available program to do this work... Be prepared to get a little frustrated and watch the instructions more than once..... It's not Cousera fun fluff !!!
par Syed M R A•
Great clarification of concepts regarding "classification algorithm" and its application in various industries. Final project is awesome but very practical and needs more clarity in videos and notes. Overall, very challenging and informative.
par Andrew K•
Enjoyed the course overall. It's been a few weeks now, but I recall getting the sense that it needed a careful overhaul on quizzes. Some of the frustrations were mentioned in discussion groups that don't seem that well trafficked any more.
par Jose V•
The course is very challenging, but very interesting. I will probably suggest a bit more of staff support in the last week, specially the final project which is very challenging and demanding. A bit more of orientation will be really good.
par Mallikarjun B•
The explainations are a bit hard to follow if you are in a hurry, some times the course concepts just jump onto you. The techniques and content are really really great and very relavent, but the instructional value can be further ehnanced.
par Jiten P•
Very detailed course introducing us to the foundations and concepts leading to analytics. However, I think the course could have been simplified, as it takes strong understanding of probability and related concepts as prerequisites.
par Evgeniy M•
This course is about modeling but not Excel features.
I really enjoyed the course, but I had other expectations before starting working with this course.
I think, the title of the coure should be changed to minimize miscommunication.
par D. C•
(Final Grade 91.4%). You will need to dedicate a time discuss course material with fellow learners, mentors, and instructors.
Update 07/29/2017 , I review the material , and they do a lot of corrections to the explanations ,